Deployment
NarGo at Washington DC / Maryland / Virginia (DMV), USA
Twinny's NarGo is an autonomous mobile robot for warehouse order picking that operates without infrastructure markers or beacons using 3D LiDAR-based self-location estimation. The system operates as a cart train where multiple carts follow a leading unit, and the company claims the platform reduces worker picking labor costs by up to 64.4%.
Twinny, founded in 2015 in South Korea, has deployed NarGo at logistics operators including Yongma Logis and raised a $13.7M Series C in March 2026.
NarGo by Twinny · Unverified · Warehouse & Logistics Robotics
Recent coverage
10 NarGo 60 units supplied to DMV-area public institutions (libraries, community centers, food banks) via Korea's Public Procurement Service export pilot program. Also exploring Dallas and LA markets.
Safety record
No incidents on record for NarGo at Washington DC / Maryland / Virginia (DMV), USA.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
- Trust tier
- Unverifiedhow tiers work →
- Last updated
- 2026-08-21
- Model
- NarGo
- Company
- Twinny
- Operator
- Twinny
- Status
- pilot
- First seen
- 2025-08-22
- ID
b5946b6d-0fab-47cf-88ed-a4b19fa0f9c9
Timeline
- Aug 2025First recordedNarGo first documented operating at Washington DC / Maryland / Virginia (DMV), USA.
- Aug 2026Current status: pilotLatest recorded state. New status transitions append here as the deployment-status recorder produces them.
On the deployment map
Operates worldwide
NarGo is deployed globally rather than at a single verified site, so there is no map pin.
NarGo operates in Washington DC / Maryland / Virginia (DMV), USA. Explore the full verified map:
Sources (1)
Methodology: Unreviewed · 1 source (no primary) · last reviewed 2026-08-21
Verification posture
Unreviewed
Low confidence
Review state
Stable
Last reviewed 2026-08-21
Maturity + lifecycle
Maturity stage: commercial
Lifecycle: active
Architectural position
Cohort: amr
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for NarGo at Washington DC / Maryland / Virginia (DMV), USA.Common questions
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Machine-readable surfaces
- Markdown mirror: /deployments/nargo-dmv-usa.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/robots/b5946b6d-0fab-47cf-88ed-a4b19fa0f9c9
- Data documentation: /data
- Query this programmatically: Deploy MCP